Triple
T15632845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Carcetti |
E375860
|
entity |
| Predicate | hasAdvisor |
P25349
|
FINISHED |
| Object | Norman Wilson |
E1174039
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Norman Wilson | Statement: [Tommy Carcetti, hasAdvisor, Norman Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Wilson Context triple: [Tommy Carcetti, hasAdvisor, Norman Wilson]
-
A.
Norman Wilson
chosen
Norman Wilson is a seasoned political operative and advisor known for managing campaigns and navigating the complexities of urban politics.
-
B.
Norman Black
Norman Black is a former American professional basketball player and highly successful coach, best known for his long and decorated career in the Philippine Basketball Association.
-
C.
Charles B. Mulvehill
Charles B. Mulvehill was a film producer best known for his work on the cult classic dark comedy "Harold and Maude."
-
D.
Effingham Wilson
Effingham Wilson was a prominent 19th-century London publisher known for issuing works of literature, radical politics, and social reform.
-
E.
Louis D. Wilson
Louis D. Wilson was a 19th-century North Carolina politician and military officer after whom the city of Wilson, North Carolina, is named.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff875e49748190a2a4aceb649762b4 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:14 a.m.